A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement

20 April 2022

Matias Valdenegro-Toro

Papers citing "A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement"

42 / 42 papers shown

Title
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression Christopher Bülte Yusuf Sale Timo Löhr Paul Hofman Gitta Kutyniok Eyke Hüllermeier UD 65 0 0 25 Apr 2025
Efficient Process Reward Model Training via Active Learning Keyu Duan Zichen Liu Xin Mao Tianyu Pang Changyu Chen Qiguang Chen Michael Shieh Longxu Dou LRM 25 1 0 14 Apr 2025
Explainability of AI Uncertainty: Application to Multiple Sclerosis Lesion Segmentation on MRI N. Molchanova P. M. Gordaliza A. Cagol Mario Ocampo Pineda Po-Jui Lu ... Delphine Ribes A. Depeursinge C. Granziera Henning Muller Meritxell Bach Cuadra UQCV 55 0 0 07 Apr 2025
Modeling of AUV Dynamics with Limited Resources: Efficient Online Learning Using Uncertainty Michal Tešnar Bilal Wehbe Matias Valdenegro-Toro 26 0 0 06 Apr 2025
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging Ji-Hun Oh Kianoush Falahkheirkhah Rohit Bhargava 57 0 0 27 Feb 2025
Can Bayesian Neural Networks Explicitly Model Input Uncertainty? Matias Valdenegro-Toro Marco Zullich BDL PER UQCV UD 199 0 0 14 Jan 2025
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks Giorgio Morales John W. Sheppard 74 0 0 13 Dec 2024
Optimizing Sensor Redundancy in Sequential Decision-Making Problems Jonas Nüßlein Maximilian Zorn Fabian Ritz Jonas Stein Gerhard Stenzel Julian Schonberger Thomas Gabor Claudia Linnhoff-Popien 72 0 0 10 Dec 2024
Fine-Grained Uncertainty Quantification via Collisions Jesse Friedbaum S. Adiga Ravi Tandon 69 0 0 18 Nov 2024
Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data Seunggeun Chi Pin-Hao Huang Enna Sachdeva Hengbo Ma Karthik Ramani Kwonjoon Lee DiffM 39 2 0 05 Nov 2024
MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose Estimation Philipp Quentin Daniel Goehring 37 0 0 05 Sep 2024
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift Fabian Diet Moussa Kassem Sbeyti Michelle Karg 41 0 0 05 Sep 2024
How disentangled are your classification uncertainties? Ivo Pascal de Jong A. Sburlea Matias Valdenegro-Toro UQCV UD PER 23 2 0 22 Aug 2024
The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act Matias Valdenegro-Toro Radina Stoykova 19 0 0 20 Aug 2024
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty Yongjin Yang Haneul Yoo Hwaran Lee 65 1 0 13 Aug 2024
Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning Seyeon Kim Joonhun Lee Namhoon Cho Sungjun Han Seungeon Baek 39 0 0 05 Aug 2024
Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization D. Wu Nikki Lijing Kuang Ruijia Niu Yi Ma Rose Yu 47 0 0 30 Jun 2024
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation Matias Valdenegro-Toro Ivo Pascal de Jong Marco Zullich UD 32 2 0 26 Jun 2024
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data Grigor Bezirganyan Sana Sellami Laure Berti-Équille Sébastien Fournier 32 3 0 14 Jun 2024
Uncertainty Quantification on Graph Learning: A Survey Chao Chen Chenghua Guo Rui Xu Xiangwen Liao Xi Zhang Sihong Xie Hui Xiong Mohit Bansal AI4CE 34 1 0 23 Apr 2024
Energy-Efficient Uncertainty-Aware Biomass Composition Prediction at the Edge Muhammad Zawish Paul Albert Flavio Esposito Steven Davy Lizy Abraham 34 0 0 17 Apr 2024
Uncertainty Quantification for Gradient-based Explanations in Neural Networks Mihir Mulye Matias Valdenegro-Toro UQCV FAtt 33 0 0 25 Mar 2024
Uncertainty Quantification for cross-subject Motor Imagery classification Prithviraj Manivannan Ivo Pascal de Jong Matias Valdenegro-Toro A. Sburlea UQCV 35 0 0 14 Mar 2024
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks Bálint Mucsányi Michael Kirchhof Seong Joon Oh UQCV BDL OODD 420 20 1 29 Feb 2024
Pretrained Visual Uncertainties Michael Kirchhof Mark Collier Seong Joon Oh Enkelejda Kasneci UQCV 399 8 1 26 Feb 2024
One step closer to unbiased aleatoric uncertainty estimation Wang Zhang Ziwen Ma Subhro Das Tsui-Wei Weng Alexandre Megretski Lucani E. Daniel Lam M. Nguyen 27 9 0 16 Dec 2023
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review Ivo Pascal de Jong A. Sburlea Matias Valdenegro-Toro 27 1 0 15 Nov 2023
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction Yufei Zhang Hanjing Wang Jeffrey O. Kephart Q. Ji 3DH 16 9 0 01 Aug 2023
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift Luca Franco Paolo Mandica Konstantinos Kallidromitis Devin Guillory Yu-Teng Li Trevor Darrell Fabio Galasso 49 9 0 19 Jun 2023
Deep Gaussian Mixture Ensembles Yousef El-Laham Niccolò Dalmasso Elizabeth Fons Svitlana Vyetrenko BDL UQCV 25 2 0 12 Jun 2023
Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty Anshul Nayak A. Eskandarian Zachary R. Doerzaph P. Ghorai 35 4 0 26 May 2023
Individuality in Swarm Robots with the Case Study of Kilobots: Noise, Bug, or Feature? Mohsen Raoufi Pawel Romanczuk Heiko Hamann 16 9 0 25 May 2023
Towards the Understanding of Receptivity and Affect in EMAs using Physiological based Machine Learning Method: Analysis of Receptivity and Affect Zachary D. King Han Yu T. Vaessen I. Myin-Germeys Akane Sano 14 0 0 16 Mar 2023
Multi-Head Multi-Loss Model Calibration Adrian Galdran Johan W. Verjans G. Carneiro M. A. G. Ballester UQCV 10 7 0 02 Mar 2023
MooseNet: A Trainable Metric for Synthesized Speech with a PLDA Module Ondvrej Plátek Ondrej Dusek 25 2 0 17 Jan 2023
Selective classification using a robust meta-learning approach Nishant Jain Karthikeyan Shanmugam Pradeep Shenoy OOD 26 2 0 12 Dec 2022
Materials Property Prediction with Uncertainty Quantification: A Benchmark Study Daniel Varivoda Rongzhi Dong Sadman Sadeed Omee Jianjun Hu AI4CE 28 20 0 04 Nov 2022
A view on model misspecification in uncertainty quantification Yuko Kato David Tax Marco Loog 28 3 0 30 Oct 2022
Uncertainty Disentanglement with Non-stationary Heteroscedastic Gaussian Processes for Active Learning Zeel B Patel Nipun Batra Kevin P. Murphy UD PER UQCV 29 1 0 20 Oct 2022
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation Lars Schmarje Vasco Grossmann Claudius Zelenka S. Dippel R. Kiko ... M. Pastell J. Stracke A. Valros N. Volkmann Reinahrd Koch 43 34 0 13 Jul 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015